2023
Impact of Marital Stress on 1‐Year Health Outcomes Among Young Adults With Acute Myocardial Infarction
Zhu C, Dreyer R, Li F, Spatz E, Caraballo‐Cordovez C, Mahajan S, Raparelli V, Leifheit E, Lu Y, Krumholz H, Spertus J, D'Onofrio G, Pilote L, Lichtman J. Impact of Marital Stress on 1‐Year Health Outcomes Among Young Adults With Acute Myocardial Infarction. Journal Of The American Heart Association 2023, 12: e030031. PMID: 37589125, PMCID: PMC10547344, DOI: 10.1161/jaha.123.030031.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionCardiac-specific qualityGeneric health statusMyocardial infarctionBaseline healthMarital stressHealth outcomesHealth statusWorse patient-reported outcomesMental healthYoung adultsObservational cohort studyPatient-reported outcomesSocioeconomic factorsWorse mental healthReadmission 1Cause readmissionCohort studyYounger patientsRoutine screeningDepressive symptomsGreater oddsAnginaMale participantsOutcomes
2019
P415330-Day readmission after hospitalization for heart failure in china
Li J, Bai X, Zhang L, Masoudi F, Spertus J, Krumholz H. P415330-Day readmission after hospitalization for heart failure in china. European Heart Journal 2019, 40: ehz745.0725. DOI: 10.1093/eurheartj/ehz745.0725.Peer-Reviewed Original ResearchDays of dischargeHeart failurePatient characteristicsMedian odds ratioOdds ratioChronic obstructive pulmonary diseaseIndex hospital stayObstructive pulmonary diseaseWeeks of dischargeValvular heart diseaseTransitions of careHF hospitalizationRandom hospitalsCause readmissionEligible patientsHospital stayHospitalization stayReadmission diagnosesReadmission ratesConsecutive patientsHospital readmissionMedian agePulmonary diseasePatient factorsC-statisticThirty-Day Readmission Risk Model for Older Adults Hospitalized With Acute Myocardial Infarction
Dodson JA, Hajduk AM, Murphy TE, Geda M, Krumholz HM, Tsang S, Nanna MG, Tinetti ME, Goldstein D, Forman DE, Alexander KP, Gill TM, Chaudhry SI. Thirty-Day Readmission Risk Model for Older Adults Hospitalized With Acute Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2019, 12: e005320. PMID: 31010300, PMCID: PMC6481309, DOI: 10.1161/circoutcomes.118.005320.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAged, 80 and overFemaleGeriatric AssessmentHealth Status IndicatorsHumansMaleMyocardial InfarctionPatient AdmissionPatient ReadmissionPredictive Value of TestsProspective StudiesReproducibility of ResultsRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeUnited StatesConceptsAcute myocardial infarctionReadmission risk modelFinal risk modelFunctional mobilityFunctional impairmentMyocardial infarctionOlder adultsFirst diastolic blood pressureChronic obstructive pulmonary diseaseAge-related functional impairmentsP2Y12 inhibitor useAcute kidney injuryDaily living (ADL) disabilityPatient-level factorsProspective cohort studyDiastolic blood pressureObstructive pulmonary diseasePatients of ageGeneral health statusStrongest predictorRisk modelMore comorbiditiesCause readmissionKidney injuryCohort studyThirty-Day Hospital Readmission After Acute Myocardial Infarction in China
Li J, Dharmarajan K, Bai X, Masoudi FA, Spertus JA, Li X, Zheng X, Zhang H, Yan X, Dreyer RP, Krumholz HM, Group F. Thirty-Day Hospital Readmission After Acute Myocardial Infarction in China. Circulation Cardiovascular Quality And Outcomes 2019, 12: e005628. PMID: 31092023, DOI: 10.1161/circoutcomes.119.005628.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionUnplanned cardiovascular readmissionsDays of dischargeMyocardial infarctionCardiovascular readmissionCause readmissionMost readmissionsLower riskFit Cox proportional hazards modelsST-segment elevation myocardial infarctionAcute Coronary Events (GRACE) scoreThirty-day hospital readmissionsDisease-specific health statusCox proportional hazards modelVentricular ejection fractionProportional hazards modelLow social supportBackground ReadmissionRecurrent anginaCardiovascular eventsHospital complicationsUnplanned readmissionIndex hospitalizationClinical factorsConsecutive patientsTwenty-Year Trends in Outcomes for Older Adults With Acute Myocardial Infarction in the United States
Krumholz HM, Normand ST, Wang Y. Twenty-Year Trends in Outcomes for Older Adults With Acute Myocardial Infarction in the United States. JAMA Network Open 2019, 2: e191938. PMID: 30874787, PMCID: PMC6484647, DOI: 10.1001/jamanetworkopen.2019.1938.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionRecurrent acute myocardial infarctionPercutaneous coronary interventionAMI dischargeCause readmissionCoronary interventionMyocardial infarctionMedicare feeCoronary artery bypass graft surgery ratesCoronary artery bypass graft surgeryArtery bypass graft surgeryInpatient percutaneous coronary interventionRate of catheterizationBypass graft surgeryShort-term mortalityInpatient paymentsQuality of careTwenty-year trendsEvolution of outcomesHospital mortalityHospital stayInpatient outcomesCause mortalityGraft surgeryCohort study
2018
Clinical Outcomes of Plavix and Generic Clopidogrel for Patients Hospitalized With an Acute Coronary Syndrome
Ko DT, Krumholz HM, Tu JV, Austin PC, Stukel TA, Koh M, Chong A, de Melo JF, Jackevicius CA. Clinical Outcomes of Plavix and Generic Clopidogrel for Patients Hospitalized With an Acute Coronary Syndrome. Circulation Cardiovascular Quality And Outcomes 2018, 11: e004194. PMID: 29535091, DOI: 10.1161/circoutcomes.117.004194.Peer-Reviewed Original ResearchMeSH KeywordsAcute Coronary SyndromeAgedAged, 80 and overClopidogrelCost SavingsCost-Benefit AnalysisDatabases, FactualDrug CostsDrug SubstitutionDrugs, GenericFemaleHemorrhageHumansMaleOntarioPatient AdmissionPatient ReadmissionPlatelet Aggregation InhibitorsPurinergic P2Y Receptor AntagonistsRecurrenceRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeConceptsAcute coronary syndromeGeneric clopidogrelClinical outcomesCoronary syndromePrimary outcomeRecurrent acute coronary syndromeSubstantial healthcare cost savingsPopulation-based observational studyPropensity-weighted cohortsComposite of deathTransient ischemic attackComposite end pointEffect of clopidogrelElevation myocardial infarctionHealthcare cost savingsCox proportional hazardsRate of deathIschemic attackACS hospitalizationCause readmissionBaseline characteristicsHospital dischargeRecurrent hospitalizationsMean ageMyocardial infarction
2017
Hospital Readmissions among Commercially Insured and Medicare Advantage Beneficiaries with Diabetes and the Impact of Severe Hypoglycemic and Hyperglycemic Events
McCoy RG, Lipska KJ, Herrin J, Jeffery MM, Krumholz HM, Shah ND. Hospital Readmissions among Commercially Insured and Medicare Advantage Beneficiaries with Diabetes and the Impact of Severe Hypoglycemic and Hyperglycemic Events. Journal Of General Internal Medicine 2017, 32: 1097-1105. PMID: 28685482, PMCID: PMC5602759, DOI: 10.1007/s11606-017-4095-x.Peer-Reviewed Original ResearchConceptsDiabetes Complications Severity IndexSevere dysglycemiaIndex hospitalizationMedicare Advantage beneficiariesRisk factorsBetter care transitionsComplications Severity IndexPost-discharge managementIndependent risk factorYounger patient ageOptumLabs Data WarehouseStrong risk factorYears of ageBackgroundHospital readmissionsDesignRetrospective analysisCause readmissionUnplanned readmissionPatient agePrior hospitalizationReadmission ratesYounger patientsHeart failureHospital readmissionSevere hypoglycemiaDiabetes complications
2016
Analysis of Machine Learning Techniques for Heart Failure Readmissions
Mortazavi BJ, Downing NS, Bucholz EM, Dharmarajan K, Manhapra A, Li SX, Negahban SN, Krumholz HM. Analysis of Machine Learning Techniques for Heart Failure Readmissions. Circulation Cardiovascular Quality And Outcomes 2016, 9: 629-640. PMID: 28263938, PMCID: PMC5459389, DOI: 10.1161/circoutcomes.116.003039.Peer-Reviewed Original Research
2014
Place of Residence and Outcomes of Patients With Heart Failure
Bikdeli B, Wayda B, Bao H, Ross JS, Xu X, Chaudhry SI, Spertus JA, Bernheim SM, Lindenauer PK, Krumholz HM. Place of Residence and Outcomes of Patients With Heart Failure. Circulation Cardiovascular Quality And Outcomes 2014, 7: 749-756. PMID: 25074375, PMCID: PMC5323058, DOI: 10.1161/circoutcomes.113.000911.Peer-Reviewed Original ResearchConceptsNeighborhood socioeconomic statusIndividual socioeconomic statusOutcomes of patientsHeart failureHigher SES neighborhoodsSocioeconomic statusClinical factorsHeart Failure Outcomes trialPrimary end pointPatient-level factorsUS internal medicineCause mortalityCause readmissionMultivariable adjustmentOutcome trialsMedical chartsPatient interviewsLow-SES neighborhoodsCardiology practiceMortality ratePatientsPlace of residenceInternal medicineReadmissionEnd point
2013
Trends in Aortic Valve Replacement for Elderly Patients in the United States, 1999-2011
Barreto-Filho JA, Wang Y, Dodson JA, Desai MM, Sugeng L, Geirsson A, Krumholz HM. Trends in Aortic Valve Replacement for Elderly Patients in the United States, 1999-2011. JAMA 2013, 310: 2078-2084. PMID: 24240935, PMCID: PMC4089974, DOI: 10.1001/jama.2013.282437.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAged, 80 and overAortic ValveBicuspid Aortic Valve DiseaseBlack PeopleCohort StudiesCoronary Artery BypassCross-Sectional StudiesFee-for-Service PlansFemaleHeart Defects, CongenitalHeart Valve DiseasesHeart Valve ProsthesisHeart Valve Prosthesis ImplantationHumansLength of StayMaleMedicarePatient ReadmissionTreatment OutcomeUnited StatesConceptsSurgical aortic valve replacementAortic valve replacementValve replacementProcedure ratesElderly patientsCoronary artery bypass graft surgeryArtery bypass graft surgeryCross-sectional cohort studyPatients 85 yearsBypass graft surgeryHigh mortality rateCause readmissionCABG surgeryGraft surgeryOlder patientsCohort studyReadmission ratesTranscatheter optionsBlack patientsTranscatheter treatmentMechanical prosthesesThirty-dayContemporary outcomesMAIN OUTCOMEMedicare fee
2010
Is Same-Hospital Readmission Rate a Good Surrogate for All-Hospital Readmission Rate?
Nasir K, Lin Z, Bueno H, Normand SL, Drye EE, Keenan PS, Krumholz HM. Is Same-Hospital Readmission Rate a Good Surrogate for All-Hospital Readmission Rate? Medical Care 2010, 48: 477-481. PMID: 20393366, DOI: 10.1097/mlr.0b013e3181d5fb24.Peer-Reviewed Original ResearchConceptsRisk-standardized readmission ratesHospital readmission ratesSame-hospital readmissionsSame-hospital readmission ratesDays of dischargeReadmission ratesHeart failureUS acute care hospitalsThirty-day readmissionStandard Analytic FilesAcute care hospitalsHierarchical logistic regression modelsLogistic regression modelsCause readmissionHF readmissionIndex hospitalizationCare hospitalHospital readmissionAnalytic FilesMedicare inpatientReadmissionStudy populationHospital measuresReadmission measuresHospitalization
2009
All-Cause Readmission and Repeat Revascularization After Percutaneous Coronary Intervention in a Cohort of Medicare Patients
Curtis JP, Schreiner G, Wang Y, Chen J, Spertus JA, Rumsfeld JS, Brindis RG, Krumholz HM. All-Cause Readmission and Repeat Revascularization After Percutaneous Coronary Intervention in a Cohort of Medicare Patients. Journal Of The American College Of Cardiology 2009, 54: 903-907. PMID: 19712799, DOI: 10.1016/j.jacc.2009.04.076.Peer-Reviewed Original ResearchConceptsPercutaneous coronary interventionReadmission ratesRevascularization proceduresCause readmissionCoronary interventionPCI proceduresMortality rateIndex percutaneous coronary interventionAcute myocardial infarction patientsCause readmission rateIndex PCI procedureMedian readmission rateDays of dischargeRepeat revascularization proceduresMyocardial infarction patientsNon-AMI patientsPCI patientsRepeat revascularizationRevascularization ratesPrimary outcomeInfarction patientsSuch readmissionsMedicare patientsRetrospective analysisReadmission
2008
Mental Disorders, Quality of Care, and Outcomes Among Older Patients Hospitalized With Heart Failure: An Analysis of the National Heart Failure Project
Rathore SS, Wang Y, Druss BG, Masoudi FA, Krumholz HM. Mental Disorders, Quality of Care, and Outcomes Among Older Patients Hospitalized With Heart Failure: An Analysis of the National Heart Failure Project. JAMA Psychiatry 2008, 65: 1402-1408. PMID: 19047527, PMCID: PMC2790277, DOI: 10.1001/archpsyc.65.12.1402.Peer-Reviewed Original ResearchConceptsMental illness diagnosisACE inhibitor prescriptionHeart failureMultivariate adjustmentQuality of careIllness diagnosisInhibitor prescriptionLVEF evaluationMental illnessNational Heart Failure ProjectAngiotensin-converting enzyme inhibitorVentricular ejection fraction assessmentUS acute care hospitalsLeft ventricular ejection fraction assessmentHeart Failure ProjectAcute care hospitalsHigher crude ratesEjection fraction assessmentPopulation-based sampleEligible patientsTreatment contraindicationsCause readmissionElderly patientsOlder patientsCare hospitalAn Administrative Claims Measure Suitable for Profiling Hospital Performance on the Basis of 30-Day All-Cause Readmission Rates Among Patients With Heart Failure
Keenan PS, Normand SL, Lin Z, Drye EE, Bhat KR, Ross JS, Schuur JD, Stauffer BD, Bernheim SM, Epstein AJ, Wang Y, Herrin J, Chen J, Federer JJ, Mattera JA, Wang Y, Krumholz HM. An Administrative Claims Measure Suitable for Profiling Hospital Performance on the Basis of 30-Day All-Cause Readmission Rates Among Patients With Heart Failure. Circulation Cardiovascular Quality And Outcomes 2008, 1: 29-37. PMID: 20031785, DOI: 10.1161/circoutcomes.108.802686.Peer-Reviewed Original ResearchConceptsRisk-standardized readmission ratesCause readmission rateReadmission ratesHeart failureHospital-level readmission ratesAdjusted readmission ratesAdministrative Claims MeasureUnadjusted readmission ratesHeart failure patientsHospital risk-standardized readmission ratesMedical record dataProfiling Hospital PerformanceHierarchical logistic regression modelsUse of MedicareMedical record modelNational Quality ForumLogistic regression modelsCause readmissionClaims-based modelsHospital dischargeFailure patientsC-statisticPreventable eventsPatientsQuality Forum
2005
Aspirin Use in Older Patients With Heart Failure and Coronary Artery Disease National Prescription Patterns and Relationship With Outcomes
Masoudi FA, Wolfe P, Havranek EP, Rathore SS, Foody JM, Krumholz HM. Aspirin Use in Older Patients With Heart Failure and Coronary Artery Disease National Prescription Patterns and Relationship With Outcomes. Journal Of The American College Of Cardiology 2005, 46: 955-962. PMID: 16168275, DOI: 10.1016/j.jacc.2004.07.062.Peer-Reviewed Original ResearchConceptsCoronary artery diseaseHeart failureAspirin prescriptionAspirin useRenal insufficiencyLower riskLower unadjusted ratesNational prescription patternsUse of aspirinClustering of patientsEvidence of harmCause readmissionCoronary eventsOlder patientsPrescription patternsSecondary preventionArtery diseaseACE inhibitorsMultivariable analysisUnadjusted ratesHospital characteristicsTreatment benefitMedicare beneficiariesAspirinPatientsPrior Aspirin Use and Outcomes in Elderly Patients Hospitalized With Acute Myocardial Infarction
Portnay EL, Foody JM, Rathore SS, Wang Y, Masoudi FA, Curtis JP, Krumholz HM. Prior Aspirin Use and Outcomes in Elderly Patients Hospitalized With Acute Myocardial Infarction. Journal Of The American College Of Cardiology 2005, 46: 967-974. PMID: 16168277, PMCID: PMC2790536, DOI: 10.1016/j.jacc.2005.06.049.Peer-Reviewed Original ResearchConceptsPrior aspirin useCondition-specific readmissionAspirin useMyocardial infarctionCause readmissionMedicare beneficiariesSix-month mortalityAcute myocardial infarctionElderly patientsMultivariable adjustmentPrognostic significanceHigh riskReadmissionLower riskLower mortalityPatientsOne monthMortalityMonthsInfarctionOne-thirdNational sampleRiskMarkersAssociationInsulin-Sensitizing Antihyperglycemic Drugs and Mortality After Acute Myocardial Infarction
Inzucchi SE, Masoudi FA, Wang Y, Kosiborod M, Foody JM, Setaro JF, Havranek EP, Krumholz HM. Insulin-Sensitizing Antihyperglycemic Drugs and Mortality After Acute Myocardial Infarction. Diabetes Care 2005, 28: 1680-1689. PMID: 15983320, DOI: 10.2337/diacare.28.7.1680.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionYear of dischargeHeart failureAntihyperglycemic agentsMyocardial infarctionHigh riskDiabetic patientsInsulin sensitizersMultivariable Cox proportional hazards modelsCox proportional hazards modelBorderline higher riskOlder diabetic patientsRetrospective cohort studyHeart failure readmissionInsulin-sensitizing drugsProportional hazards modelFirst rehospitalizationCause readmissionCohort studySecondary outcomesDischarge prescriptionsPrimary outcomeMultivariable analysisAntihyperglycemic drugsIndependent association
2001
Predictors of costs of caring for elderly patients discharged with heart failure
Wexler D, Chen J, Smith G, Radford M, Yaari S, Bradford W, Krumholz H. Predictors of costs of caring for elderly patients discharged with heart failure. American Heart Journal 2001, 142: 350-357. PMID: 11479477, DOI: 10.1067/mhj.2001.116476.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overConnecticutFemaleHealth Services for the AgedHeart FailureHospital CostsHumansLength of StayMaleMedical RecordsMedicareModels, EconomicOutcome Assessment, Health CarePatient DischargePatient ReadmissionPredictive Value of TestsRetrospective StudiesRisk AssessmentRisk FactorsConceptsHeart failureIndependent correlatesHeart failure-related admissionsHeart failure-related readmissionsSubstantial hospital costsHeart failure admissionsHistory of strokeSubset of patientsPrincipal discharge diagnosisSignificant independent correlatesOutcomes 6 monthsPredictors of costsMedicare administrative databasesCause readmissionClinical characteristicsElderly patientsAverage admissionDischarge diagnosisKidney failureCause costsCorrelates of costsMedical recordsRisk factorsAdministrative databasesConnecticut hospitals
2000
Predictors of readmission among elderly survivors of admission with heart failure
Krumholz H, Chen Y, Wang Y, Vaccarino V, Radford M, Horwitz R. Predictors of readmission among elderly survivors of admission with heart failure. American Heart Journal 2000, 139: 72-77. PMID: 10618565, DOI: 10.1016/s0002-8703(00)90311-9.Peer-Reviewed Original ResearchConceptsHigh-risk patientsHeart failureRisk predictorsCause readmissionClinical factorsValidation cohortHeart failure-related readmissionsPrior heart failurePatients 65 yearsPredictors of readmissionRisk of readmissionMedical record reviewGroup of patientsPrincipal discharge diagnosisResource-intensive interventionsMedicare administrative databasesCreatinine levelsElderly patientsPrior admissionReadmission ratesDerivation cohortRecord reviewDischarge diagnosisAdministrative databasesConnecticut hospitals